Hospital capacity planning for disaster emergency management
Pengfei Yi,
Santhosh K. George,
Jomon Aliyas Paul and
Li Lin
Socio-Economic Planning Sciences, 2010, vol. 44, issue 3, 151-160
Abstract:
Hospitals are an integral part of a society's critical functions designed to respond to man-made and natural disasters. Effective hospital capacity planning can significantly enhance the capability and effectiveness of treatment for emergency patients with injuries resulting from a disaster. Such information can be used for patient/ambulance routing, resource planning, and emergency operations management. In the current paper, we develop a generic simulation model that is capable of representing the operations of a wide range of hospitals given an earthquake disaster situation. Using results from our simulations, generalized regression equations are fitted to obtain steady-state hospital capacities. A parametric metamodel is then developed to predict transient capacity for multiple hospitals in the disaster area in a timely manner, as demanded by emergency operations management for guiding the routing and treatment of injured people.
Keywords: Hospitals; Simulation; Regression; Meta-model; Disaster; planning; Capacity; planning (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (16)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0038-0121(09)00043-3
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:soceps:v:44:y:2010:i:3:p:151-160
Access Statistics for this article
Socio-Economic Planning Sciences is currently edited by Barnett R. Parker
More articles in Socio-Economic Planning Sciences from Elsevier
Bibliographic data for series maintained by Catherine Liu ().